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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

Showing 361370 of 1773 papers

TitleStatusHype
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel DataCode0
Low-resource neural machine translation with morphological modelingCode0
Combining Advanced Methods in Japanese-Vietnamese Neural Machine TranslationCode0
Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource LanguageCode0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
Machine Translation of Novels in the Age of TransformerCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
Explicit Sentence Compression for Neural Machine TranslationCode0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource LanguagesCode0
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